SCC: An efficient deep reinforcement learning agent mastering the game of StarCraft II
AlphaStar, the AI that reaches GrandMaster level in StarCraft II, is a remarkable milestone
demonstrating what deep reinforcement learning can achieve in complex Real-Time …
demonstrating what deep reinforcement learning can achieve in complex Real-Time …
Tstarbot-x: An open-sourced and comprehensive study for efficient league training in starcraft ii full game
StarCraft, one of the most difficult esport games with long-standing history of professional
tournaments, has attracted generations of players and fans, and also, intense attentions in …
tournaments, has attracted generations of players and fans, and also, intense attentions in …
Starcraft ii: A new challenge for reinforcement learning
This paper introduces SC2LE (StarCraft II Learning Environment), a reinforcement learning
environment based on the StarCraft II game. This domain poses a new grand challenge for …
environment based on the StarCraft II game. This domain poses a new grand challenge for …
On efficient reinforcement learning for full-length game of starcraft ii
StarCraft II (SC2) poses a grand challenge for reinforcement learning (RL), of which the
main difficulties include huge state space, varying action space, and a long time horizon. In …
main difficulties include huge state space, varying action space, and a long time horizon. In …
Grandmaster level in StarCraft II using multi-agent reinforcement learning
Many real-world applications require artificial agents to compete and coordinate with other
agents in complex environments. As a stepping stone to this goal, the domain of StarCraft …
agents in complex environments. As a stepping stone to this goal, the domain of StarCraft …
On multi-agent learning in team sports games
Y Zhao, I Borovikov, J Rupert, C Somers… - arXiv preprint arXiv …, 2019 - arxiv.org
In recent years, reinforcement learning has been successful in solving video games from
Atari to Star Craft II. However, the end-to-end model-free reinforcement learning (RL) is not …
Atari to Star Craft II. However, the end-to-end model-free reinforcement learning (RL) is not …
Creating pro-level AI for a real-time fighting game using deep reinforcement learning
Reinforcement learning (RL) combined with deep neural networks has performed
remarkably well in many genres of games recently. It has surpassed human-level …
remarkably well in many genres of games recently. It has surpassed human-level …
Gym-µrts: Toward affordable full game real-time strategy games research with deep reinforcement learning
In recent years, researchers have achieved great success in applying Deep Reinforcement
Learning (DRL) algorithms to Real-time Strategy (RTS) games, creating strong autonomous …
Learning (DRL) algorithms to Real-time Strategy (RTS) games, creating strong autonomous …
Tstarbots: Defeating the cheating level builtin ai in starcraft ii in the full game
Starcraft II (SC2) is widely considered as the most challenging Real Time Strategy (RTS)
game. The underlying challenges include a large observation space, a huge (continuous …
game. The underlying challenges include a large observation space, a huge (continuous …
A survey of deep reinforcement learning in video games
Deep reinforcement learning (DRL) has made great achievements since proposed.
Generally, DRL agents receive high-dimensional inputs at each step, and make actions …
Generally, DRL agents receive high-dimensional inputs at each step, and make actions …